Jie Qiao

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 46

Top Topics

Event Sequences

Causal Discovery

Top Venues

Genom. Proteom. Bioinform.

Publications

Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. AAAI (2024)
Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. AAAI (2024)
Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. CoRR (2024)
Jianting An, Jing Wang, Siming Kong, Shi Song, Wei Chen, Peng Yuan, Qilong He, Yidong Chen, Ye Li, Yi Yang, Wei Wang, Rong Li, Liying Yan, Zhiqiang Yan, Jie Qiao
GametesOmics: A Comprehensive Multi-omics Database for Exploring the Gametogenesis in Humans and Mice. Genom. Proteom. Bioinform. 22 (1) (2024)
Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
Learning Discrete Latent Variable Structures with Tensor Rank Conditions. CoRR (2024)
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI (2024)
Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. CoRR (2024)
Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. AAAI (2024)
Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. CoRR (2024)
Ruichu Cai, Liting Huang, Wei Chen, Jie Qiao, Zhifeng Hao
Learning dynamic causal mechanisms from non-stationary data. Appl. Intell. 53 (5) (2023)
Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. CoRR (2023)
Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. CoRR (2023)
Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. CoRR (2023)
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. CoRR (2023)
Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. IJCAI (2023)
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI (2023)
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai
Identification of Linear Latent Variable Model with Arbitrary Distribution. AAAI (2022)
Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao
Causal discovery from multi-domain data using the independence of modularities. Neural Comput. Appl. 34 (3) (2022)
Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. CoRR (2022)
Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. CoRR (2022)
Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai
Causal Alignment Based Fault Root Causes Localization for Wireless Network. ICASSP (2022)
Rui Wang, Xixi Liu, Li Li, Ming Yang, Jun Yong, Fan Zhai, Lu Wen, Liying Yan, Jie Qiao, Fuchou Tang
Dissecting Human Gonadal Cell Lineage Specification and Sex Determination Using A Single-cell RNA-seq Approach. Genom. Proteom. Bioinform. 20 (2) (2022)
Xiaolu Zhao, Leisheng Shi, Shasha Ruan, Wenjian Bi, Yifan Chen, Lin Chen, Yifan Liu, MingKun Li, Jie Qiao, Fengbiao Mao
CircleBase: an integrated resource and analysis platform for human eccDNAs. Nucleic Acids Res. 50 (D1) (2022)
Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao
Learning causal structures using hidden compact representation. Neurocomputing 463 (2021)
Zhiqiang Yan, Jianting An, Yong Peng, Siming Kong, Qiang Liu, Ming Yang, Qilong He, Shi Song, Yidong Chen, Wei Chen, Rong Li, Jie Qiao, Liying Yan
DevOmics: an integrated multi-omics database of human and mouse early embryo. Briefings Bioinform. 22 (6) (2021)
Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences. CoRR (2021)
Jie Qiao, Yiting Duan, Yichi Zhang
The Emotion of Texture Under Different Senses. DSIE (2021)
Ruichu Cai, Weilin Chen, Jie Qiao, Zhifeng Hao
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization. CoRR (2021)
Jie Qiao, Ruichu Cai, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models. ACM Trans. Intell. Syst. Technol. 12 (6) (2021)
Jie Qiao, Quanlin Jie
Density matrix embedding theory of excited states for spin systems. Comput. Phys. Commun. 261 (2021)
Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao, Li Xiao
DeepACC: Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge. CoRR (2020)
Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. Neural Networks 124 (2020)
Jie Qiao, Fengxiang Xu, Kunying Wu, Suo Zhang, Yongtao Liu
Multi-Objective Topological Optimization of an Electric Truck Frame Based on Orthogonal Design and Analytic Hierarchy Process. IEEE Access 8 (2020)
Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao
Learning Disentangled Semantic Representation for Domain Adaptation. CoRR (2020)
Li Xiao, Chunlong Luo, Tianqi Yu, Yufan Luo, Manqing Wang, Fuhai Yu, Yinhao Li, Chan Tian, Jie Qiao
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. IEEE Trans. Medical Imaging 39 (12) (2020)
Zhiqiang Yan, Xiaohui Zhu, Yuqian Wang, Yanli Nie, Shuo Guan, Ying Kuo, Di Chang, Rong Li, Jie Qiao, Liying Yan
scHaplotyper: haplotype construction and visualization for genetic diagnosis using single cell DNA sequencing data. BMC Bioinform. 21 (1) (2020)
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
Causal Discovery with Cascade Nonlinear Additive Noise Models. CoRR (2019)
Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. CoRR (2019)
Li Xiao, Chunlong Luo, Yufan Luo, Tianqi Yu, Chan Tian, Jie Qiao, Yi Zhao
DeepACE: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks. MICCAI (1) (2019)
Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao
Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI (2019)
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
Causal Discovery with Cascade Nonlinear Additive Noise Model. IJCAI (2019)
Jie Qiao, Zijian Li, Boyan Xu, Ruichu Cai, Kun Zhang
Disentanglement Challenge: From Regularization to Reconstruction. CoRR (2019)
Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
Causal Discovery from Discrete Data using Hidden Compact Representation. NeurIPS (2018)
Suijuan Zhong, Shu Zhang, Xiaoying Fan, Qian Wu, Liying Yan, Ji Dong, Haofeng Zhang, Long Li, Le Sun, Na Pan, Xiaohui Xu, Fuchou Tang, Jun Zhang, Jie Qiao, Xiaoqun Wang
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex. Nat. 555 (7697) (2018)
Ruichu Cai, Jie Qiao, Zhenjie Zhang, Zhifeng Hao
SELF: Structural Equational Likelihood Framework for Causal Discovery. AAAI (2018)
Qianjin Zhao, Jie Qiao
Bivariate Barycentric Rational Hermite Interpolaiton Based on the Lebesgue Constant Minimizing. BIC-TA (2013)
Qingyun Wang, Li Zhao, Jie Qiao, Cairong Zou
Acoustic feedback cancellation based on weighted adaptive projection subgradient method in hearing aids. Signal Process. 90 (1) (2010)
Qingyun Wang, Li Zhao, Jie Qiao, Cairong Zou
A new method of multichannel loudness compensation for hearing aids. APCCAS (2008)